Direct multivariate subspace time identification

被引：2
|
作者：
Kurka, Paulo R. G. [1 ]
Braun, Simon [2 ]
机构：
[1] Univ Estadual Campinas, Fac Engn Mecan, BR-13081970 Campinas, SP, Brazil
[2] Technion Israel Inst Technol, Fac Mech Engn, IL-32000 Haifa, Israel
来源：
MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2010年 / 24卷 / 06期
关键词：
Modal parameters identification; Subspace-based method; Signal processing;
D O I：
10.1016/j.ymssp.2010.03.001
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
The paper presents a time domain method to identify structural modal parameters by fitting a discrete multivariate space-time model into noise corrupted, input-output measurement data. The subspace identification scheme proposed is an important characteristic of the method, leading to a deterministic and statistically bias free estimation of parameters. The identification model in this scheme, is kept to the minimum description order, in spite of the presence of noise in the system's input and output The method is used to estimate natural frequencies, damping factors and mode shapes in an experimental modal analysis test. (c) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码：1634 / 1645
页数：12
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